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Efficient Unsupervised Segmentation of Color Images using Wavelet Transformation and Clustering Technique

Author(s):

M. Janapriya , GOBI ARTS AND SCIENCE COLEGE, GOBI; P. Narendran, GOBI ARTS AND SCIENCE COLEGE, GOBI

Keywords:

Image Processing, Unsupervised Segmentation, Wavelet Transformation

Abstract

Image process is process of pictures mistreatment mathematical operations by employing a type of signal process that the input is a picture, like a photograph or video frame. The output of image process is also either a picture or a collection of characteristics or parameters associated with the image. Image segmentation could be a very important method step in many image, video and laptop vision applications. This paper introduces economical and quick algorithms for unattended image segmentation, mistreatment low-level options like color and texture. The projected approach is predicated on the agglomeration technique. Agglomeration mistreatment moving ridge Transformation is another agglomeration approach supported the separate moving ridge remodel (DWT) satisfying the necessities of alternative agglomeration ways. The agglomeration technique has been created mistreatment moving ridge analysis that has the flexibility of moldering a knowledge set into completely different scales. Moving ridge algorithmic program is then wont to specify the amount of the clusters and quality of the agglomeration results at every scale. An equivalent algorithmic program may be generalized for quite one-dimensional knowledge. Some examples regarding the way to use this approach square measure given within the paper mistreatment {different totally completely different completely different} sample sizes and wherever different styles of noises square measure obligatory on simulated knowledge.

Other Details

Paper ID: IJSRDV3I70351
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 591-593

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